fossilesque@mander.xyzM to Science Memes@mander.xyzEnglish · 7 months agoPandasmander.xyzimagemessage-square23fedilinkarrow-up1234arrow-down17
arrow-up1227arrow-down1imagePandasmander.xyzfossilesque@mander.xyzM to Science Memes@mander.xyzEnglish · 7 months agomessage-square23fedilink
minus-squareKausta@lemm.eelinkfedilinkEnglisharrow-up39·7 months agoYou havent seen anything until you need to put a 4.2gb gzipped csv into a pandas dataframe, which works without any issues I should note.
minus-squareQuizzaciousOtter@lemm.eelinkfedilinkEnglisharrow-up9·7 months agoI really don’t think that’s a lot either. Nowadays we routinely process terabytes of data.
minus-squareKausta@lemm.eelinkfedilinkEnglisharrow-up9·7 months agoYeah, it was just a simple example. Although using just pandas (without something like dask) for loading terabytes of data at once into a single dataframe may not be the best idea, even with enough memory.
minus-squarewhotookkarl@lemmy.worldlinkfedilinkEnglisharrow-up4·7 months agoIt’s good to see the occult is still alive and well
You havent seen anything until you need to put a 4.2gb gzipped csv into a pandas dataframe, which works without any issues I should note.
I really don’t think that’s a lot either. Nowadays we routinely process terabytes of data.
Yeah, it was just a simple example. Although using just pandas (without something like dask) for loading terabytes of data at once into a single dataframe may not be the best idea, even with enough memory.
It’s good to see the occult is still alive and well